Alternatives and similar repositories for cccl

Users that are interested in cccl are comparing it to the libraries listed below

• NVIDIA / CUDALibrarySamples
  CUDA Library Samples
  ☆2,010Updated 3 weeks ago
• NVIDIA / cuCollections
  ☆552Updated this week
• NVIDIA / MatX
  An efficient C++17 GPU numerical computing library with Python-like syntax
  ☆1,337Updated this week
• NVIDIA / nvbench
  CUDA Kernel Benchmarking Library
  ☆679Updated this week
• NVIDIA / cub
  [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
  ☆1,757Updated last year
• eyalroz / cuda-api-wrappers
  Thin, unified, C++-flavored wrappers for the CUDA APIs
  ☆846Updated 3 weeks ago
• NVIDIA / NVTX
  The NVIDIA® Tools Extension SDK (NVTX) is a C-based Application Programming Interface (API) for annotating events, code ranges, and resou…
  ☆413Updated last week
• rapidsai / rmm
  RAPIDS Memory Manager
  ☆595Updated this week
• uxlfoundation / oneMath
  oneAPI Math Library (oneMath)
  ☆694Updated last week
• NVIDIA / multi-gpu-programming-models
  Examples demonstrating available options to program multiple GPUs in a single node or a cluster
  ☆748Updated 4 months ago
• olcf / cuda-training-series
  Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
  ☆813Updated 10 months ago
• NVIDIA / jitify
  A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).
  ☆546Updated 3 weeks ago
• NVIDIA / cudnn-frontend
  cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it
  ☆591Updated this week
• llvm / torch-mlir
  The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
  ☆1,577Updated last week
• moderngpu / moderngpu
  Patterns and behaviors for GPU computing
  ☆1,726Updated 3 years ago
• stotko / stdgpu
  stdgpu: Efficient STL-like Data Structures on the GPU
  ☆1,226Updated 2 months ago
• NVIDIA / libcudacxx
  [ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl
  ☆2,306Updated last year
• Liu-xiandong / How_to_optimize_in_GPU
  This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…
  ☆1,088Updated last year
• NVIDIA / gdrcopy
  A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology
  ☆1,152Updated last month
• AdaptiveCpp / AdaptiveCpp
  Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, …
  ☆1,660Updated this week
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆764Updated last year
• dmlc / dlpack
  common in-memory tensor structure
  ☆1,026Updated last month
• NVIDIA / thrust
  [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
  ☆4,977Updated last year
• NVIDIA-developer-blog / code-samples
  Source code examples from the Parallel Forall Blog
  ☆1,295Updated 11 months ago
• PacktPublishing / Learn-CUDA-Programming
  Learn CUDA Programming, published by Packt
  ☆1,164Updated last year
• NVIDIA / Fuser
  A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")
  ☆343Updated this week
• pytorch / FBGEMM
  FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
  ☆1,399Updated this week
• ROCm / composable_kernel
  Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators
  ☆434Updated this week
• rapidsai / raft
  RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-a…
  ☆907Updated this week
• Erkaman / Awesome-CUDA
  This is a list of useful libraries and resources for CUDA development.
  ☆571Updated 7 years ago